Multi-Scale Retinex Unfolding Network for Low-Light Image Enhancement

Huake Wang; Xingsong Hou; Junxuan Li; Yadi Yan; Wenke Sun; Xin Zeng; Kaibing Zhang; Xiangyong Cao

doi:10.1109/tmm.2025.3543015

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-Scale Retinex Unfolding Network for Low-Light Image Enhancement

Huake Wang Xingsong Hou Junxuan Li Yadi Yan Wenke Sun Xin Zeng Kaibing Zhang Xiangyong Cao

Year: 2025 Journal: IEEE Transactions on Multimedia Vol: 27 Pages: 5709-5721 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tmm.2025.3543015

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Color constancy Artificial intelligence Image enhancement Scale (ratio) Computer vision Image (mathematics)

Metrics

Cited By

33.41

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-Scale Retinex Unfolding Network for Low-Light Image Enhancement

Metrics

Citation History

Topics

Related Documents

MARN: Multi-Scale Attention Retinex Network for Low-Light Image Enhancement

Learning Multi-scale Retinex with Residual Network for Low-Light Image Enhancement

URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement

Low-Light Image Enhancement Based on Iterative Multi-Scale Guided Filter Retinex

Multi-scale joint network based on Retinex theory for low-light enhancement